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Deep Learning with Applications Using Python

Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

  • Navin Kumar Manaswi

Table of contents

  1. Front Matter
    Pages i-xv
  2. Navin Kumar Manaswi
    Pages 1-30
  3. Navin Kumar Manaswi
    Pages 31-43
  4. Navin Kumar Manaswi
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  5. Navin Kumar Manaswi
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  6. Navin Kumar Manaswi
    Pages 69-89
  7. Navin Kumar Manaswi
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  8. Navin Kumar Manaswi
    Pages 97-104
  9. Navin Kumar Manaswi
    Pages 105-114
  10. Navin Kumar Manaswi
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  11. Navin Kumar Manaswi
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  12. Navin Kumar Manaswi
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  13. Navin Kumar Manaswi
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  14. Back Matter
    Pages 201-219

About this book

Introduction

Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.

This book covers intermediate and advanced levels of deep learning, including convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. 

You will:
  • Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
  • Build face recognition and face detection capabilities
  • Create speech-to-text and text-to-speech functionality
  • Make chatbots using deep learning

Keywords

Deep Learning TensorFlow Python Open AI Open AI Gym Keras Sci-Kit Learn

Authors and affiliations

  • Navin Kumar Manaswi
    • 1
  1. 1.BangaloreIndia

Bibliographic information